Modelling and management of flexible residential building components using system based heuristic approaches
Abstract The building energy management system (BEMS) components, that is, the heating, ventilation, and air conditioning (HVAC) systems, refrigerators, and lighting significantly impact energy consumption. This paper presents the modelling, including HVAC and refrigerator with interior heat and ext...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | IET Smart Grid |
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| Online Access: | https://doi.org/10.1049/stg2.12194 |
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| author | Srinivas Yelisetti Vikash Kumar Saini Rajesh Kumar Ehsan Heydarian‐Forushani Ameena S. Al Sumaiti |
| author_facet | Srinivas Yelisetti Vikash Kumar Saini Rajesh Kumar Ehsan Heydarian‐Forushani Ameena S. Al Sumaiti |
| author_sort | Srinivas Yelisetti |
| collection | DOAJ |
| description | Abstract The building energy management system (BEMS) components, that is, the heating, ventilation, and air conditioning (HVAC) systems, refrigerators, and lighting significantly impact energy consumption. This paper presents the modelling, including HVAC and refrigerator with interior heat and external illuminus of lighting for residential buildings. The energy consumption of these components has been examined using eight meta‐heuristic algorithms with weather conditions of five cities in India. The statistical and box‐plot analysis results recommended the original artificial ecosystem algorithm compared to others for energy management. The results of the proposed smart residential building have been compared with the published model results of a residential building with and without BEMS and an economic analysis has also been carried out. The simulation results show that the maximum load has been shifted to off‐peak durations. The energy savings in the proposed BEMS compared to existing BEMS and without BEMS are 34% and 57%, respectively. |
| format | Article |
| id | doaj-art-7a2283fd5d6044e195b9ab1c25cb2bd6 |
| institution | Kabale University |
| issn | 2515-2947 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Smart Grid |
| spelling | doaj-art-7a2283fd5d6044e195b9ab1c25cb2bd62024-12-26T15:37:29ZengWileyIET Smart Grid2515-29472024-12-017696798210.1049/stg2.12194Modelling and management of flexible residential building components using system based heuristic approachesSrinivas Yelisetti0Vikash Kumar Saini1Rajesh Kumar2Ehsan Heydarian‐Forushani3Ameena S. Al Sumaiti4Department of Electrical Engineering Malaviya National Institute of Technology Jaipur IndiaAdvanced Power and Energy Center Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi UAEDepartment of Electrical Engineering Malaviya National Institute of Technology Jaipur IndiaDepartment of Electrical and Computer Engineering Qom University of Technology Qom IranAdvanced Power and Energy Center Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi UAEAbstract The building energy management system (BEMS) components, that is, the heating, ventilation, and air conditioning (HVAC) systems, refrigerators, and lighting significantly impact energy consumption. This paper presents the modelling, including HVAC and refrigerator with interior heat and external illuminus of lighting for residential buildings. The energy consumption of these components has been examined using eight meta‐heuristic algorithms with weather conditions of five cities in India. The statistical and box‐plot analysis results recommended the original artificial ecosystem algorithm compared to others for energy management. The results of the proposed smart residential building have been compared with the published model results of a residential building with and without BEMS and an economic analysis has also been carried out. The simulation results show that the maximum load has been shifted to off‐peak durations. The energy savings in the proposed BEMS compared to existing BEMS and without BEMS are 34% and 57%, respectively.https://doi.org/10.1049/stg2.12194building management systemsenergy management systems |
| spellingShingle | Srinivas Yelisetti Vikash Kumar Saini Rajesh Kumar Ehsan Heydarian‐Forushani Ameena S. Al Sumaiti Modelling and management of flexible residential building components using system based heuristic approaches IET Smart Grid building management systems energy management systems |
| title | Modelling and management of flexible residential building components using system based heuristic approaches |
| title_full | Modelling and management of flexible residential building components using system based heuristic approaches |
| title_fullStr | Modelling and management of flexible residential building components using system based heuristic approaches |
| title_full_unstemmed | Modelling and management of flexible residential building components using system based heuristic approaches |
| title_short | Modelling and management of flexible residential building components using system based heuristic approaches |
| title_sort | modelling and management of flexible residential building components using system based heuristic approaches |
| topic | building management systems energy management systems |
| url | https://doi.org/10.1049/stg2.12194 |
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